BATT | LITP | BATT / LITP | |
Gain YTD | 0.909 | -16.766 | -5% |
Net Assets | 57.3M | 12M | 478% |
Total Expense Ratio | 0.59 | 0.65 | 91% |
Turnover | 42.00 | 49.00 | 86% |
Yield | 3.21 | 8.46 | 38% |
Fund Existence | 7 years | 2 years | - |
BATT | LITP | |
---|---|---|
RSI ODDS (%) | 1 day ago89% | 1 day ago90% |
Stochastic ODDS (%) | 1 day ago85% | 1 day ago84% |
Momentum ODDS (%) | 1 day ago84% | 1 day ago89% |
MACD ODDS (%) | 1 day ago85% | 1 day ago90% |
TrendWeek ODDS (%) | 1 day ago88% | 1 day ago85% |
TrendMonth ODDS (%) | 1 day ago85% | 1 day ago81% |
Advances ODDS (%) | 1 day ago88% | 1 day ago83% |
Declines ODDS (%) | 19 days ago90% | 5 days ago90% |
BollingerBands ODDS (%) | 1 day ago90% | 1 day ago85% |
Aroon ODDS (%) | 1 day ago86% | 1 day ago86% |
A.I.dvisor indicates that over the last year, BATT has been closely correlated with FCX. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then FCX could also see price increases.
Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
---|---|---|---|---|
BATT | 100% | +0.10% | ||
FCX - BATT | 75% Closely correlated | +2.03% | ||
HBM - BATT | 70% Closely correlated | +2.13% | ||
SQM - BATT | 69% Closely correlated | +0.87% | ||
PLL - BATT | 66% Closely correlated | -2.45% | ||
SGML - BATT | 64% Loosely correlated | +3.63% | ||
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A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
---|---|---|---|---|
LITP | 100% | +3.32% | ||
SQM - LITP | 77% Closely correlated | +0.87% | ||
ALB - LITP | 77% Closely correlated | -1.78% | ||
LAR - LITP | 71% Closely correlated | +1.57% | ||
PLL - LITP | 71% Closely correlated | -2.45% | ||
LAC - LITP | 64% Loosely correlated | -0.37% | ||
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